snakePipes: facilitating flexible, scalable and integrative epigenomic analysis

Vivek Bhardwaj(University of Freiburg), Steffen Heyne(Max Planck Institute of Immunobiology and Epigenetics), Katarzyna Sikora(Max Planck Institute of Immunobiology and Epigenetics), Leily Rabbani(Max Planck Institute of Immunobiology and Epigenetics), Michael Rauer(Max Planck Institute of Immunobiology and Epigenetics), Fabian Kilpert(University of Lübeck), Andreas S. Richter(Genedata (Switzerland)), Devon Ryan(Max Planck Institute of Immunobiology and Epigenetics), Thomas Manke(Max Planck Institute of Immunobiology and Epigenetics)
Bioinformatics
May 23, 2019
Cited by 197Open Access
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Abstract

SUMMARY: Due to the rapidly increasing scale and diversity of epigenomic data, modular and scalable analysis workflows are of wide interest. Here we present snakePipes, a workflow package for processing and downstream analysis of data from common epigenomic assays: ChIP-seq, RNA-seq, Bisulfite-seq, ATAC-seq, Hi-C and single-cell RNA-seq. snakePipes enables users to assemble variants of each workflow and to easily install and upgrade the underlying tools, via its simple command-line wrappers and yaml files. AVAILABILITY AND IMPLEMENTATION: snakePipes can be installed via conda: `conda install -c mpi-ie -c bioconda -c conda-forge snakePipes'. Source code (https://github.com/maxplanck-ie/snakepipes) and documentation (https://snakepipes.readthedocs.io/en/latest/) are available online. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


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